| Fairness in deep learning: A computational perspective M Du, F Yang, N Zou, X Hu IEEE Intelligent Systems 36 (4), 25-34, 2020 | 295 | 2020 |
| Non-local u-nets for biomedical image segmentation Z Wang, N Zou, D Shen, S Ji Proceedings of the AAAI conference on artificial intelligence 34 (04), 6315-6322, 2020 | 210 | 2020 |
| In-processing modeling techniques for machine learning fairness: A survey M Wan, D Zha, N Liu, N Zou ACM Transactions on Knowledge Discovery from Data 17 (3), 1-27, 2023 | 138 | 2023 |
| Specae: Spectral autoencoder for anomaly detection in attributed networks Y Li, X Huang, J Li, M Du, N Zou Proceedings of the 28th ACM international conference on information and …, 2019 | 134 | 2019 |
| Shortcut learning of large language models in natural language understanding M Du, F He, N Zou, D Tao, X Hu Communications of the ACM 67 (1), 110-120, 2023 | 125 | 2023 |
| Additive manufacturing processes for infrastructure construction: a review A Bhardwaj, SZ Jones, N Kalantar, Z Pei, J Vickers, T Wangler, ... Journal of Manufacturing Science and Engineering 141 (9), 091010, 2019 | 78 | 2019 |
| Mitigating gender bias in captioning systems R Tang, M Du, Y Li, Z Liu, N Zou, X Hu Proceedings of the Web Conference 2021, 633-645, 2021 | 73 | 2021 |
| Pyodds: An end-to-end outlier detection system with automated machine learning Y Li, D Zha, P Venugopal, N Zou, X Hu Companion Proceedings of the Web Conference 2020, 153-157, 2020 | 65 | 2020 |
| 3D printing of biomass-fungi composite material: a preliminary study A Bhardwaj, J Vasselli, M Lucht, Z Pei, B Shaw, Z Grasley, X Wei, N Zou Manufacturing Letters 24, 96-99, 2020 | 64 | 2020 |
| Metabolic connectivity for differential diagnosis of dementing disorders D Titov, J Diehl-Schmid, K Shi, R Perneczky, N Zou, T Grimmer, J Li, ... Journal of Cerebral Blood Flow & Metabolism 37 (1), 252-262, 2017 | 59 | 2017 |
| Learning fair graph representations via automated data augmentations H Ling, Z Jiang, Y Luo, S Ji, N Zou International Conference on Learning Representations (ICLR), 2023 | 54 | 2023 |
| Fmp: Toward fair graph message passing against topology bias Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu arXiv preprint arXiv:2202.04187, 2022 | 47 | 2022 |
| Multi-channel graph neural networks K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu International Joint Conferences on Artificial Intelligence, 2020 | 46 | 2020 |
| 3d printing of biomass–fungi composite material: Effects of mixture composition on print quality A Bhardwaj, AM Rahman, X Wei, Z Pei, D Truong, M Lucht, N Zou Journal of Manufacturing and Materials Processing 5 (4), 112, 2021 | 37 | 2021 |
| Graph mixup with soft alignments H Ling, Z Jiang, M Liu, S Ji, N Zou International Conference on Machine Learning, 21335-21349, 2023 | 35 | 2023 |
| Modeling and change detection of dynamic network data by a network state space model N Zou, J Li IISE Transactions 49 (1), 45-57, 2017 | 32 | 2017 |
| A transfer learning approach for predictive modeling of degenerate biological systems N Zou, Y Zhu, J Zhu, M Baydogan, W Wang, J Li Technometrics 57 (3), 362-373, 2015 | 31 | 2015 |
| Towards automated imbalanced learning with deep hierarchical reinforcement learning D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu Proceedings of the 31st ACM International Conference on Information …, 2022 | 27 | 2022 |
| PolyJet 3D printing: Predicting color by multilayer perceptron neural network X Wei, N Zou, L Zeng, Z Pei Annals of 3D Printed Medicine 5, 100049, 2022 | 27 | 2022 |
| Reliant: Fair knowledge distillation for graph neural networks Y Dong, B Zhang, Y Yuan, N Zou, Q Wang, J Li Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 25 | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityПотвърден имейл адрес: rice.edu